Winnipeg Jets
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Wombats 34-18-9, 77pts	5	FINAL	6	Wranglers 36-21-6, 78pts

Team Stats
OTW1	Streak	W1
17-13-3	Home Record	20-10-2
17-5-6	Home Record	16-11-4
8-1-1	Last 10 Games	9-1-0
4.41	Goals Per Game	4.67
3.97	Goals Against Per Game	4.33
19.86%	Power Play Percentage	23.89%
84.75%	Penalty Kill Percentage	75.56%

Tomahawks
38-23-4, 80pts

FINAL

Wranglers
36-21-6, 78pts

Team Stats
W1	Streak	W1
22-10-0	Home Record	20-10-2
16-13-4	Home Record	16-11-4
4-5-1	Last 10 Games	9-1-0
5.09	Goals Per Game	4.67
4.68	Goals Against Per Game	4.33
23.68%	Power Play Percentage	23.89%
71.84%	Penalty Kill Percentage	75.56%

Wranglers
36-21-6, 78pts

Day 139

Quacken
33-26-3, 69pts

Team Stats
W1	Streak	W1
20-10-2	Home Record	20-12-0
16-11-4	Away Record	13-14-3
9-1-0	Last 10 Games	5-5-0
4.67	Goals Per Game	3.85
4.33	Goals Against Per Game	3.85
23.89%	Power Play Percentage	29.69%
75.56%	Penalty Kill Percentage	78.76%

Quacken
33-26-3, 69pts

Day 140

Wranglers
36-21-6, 78pts

Team Stats
W1	Streak	W1
20-12-0	Home Record	20-10-2
13-14-3	Away Record	16-11-4
5-5-0	Last 10 Games	9-1-0
3.85	Goals Per Game	4.67
3.73	Goals Against Per Game	4.67
29.69%	Power Play Percentage	23.89%
78.76%	Penalty Kill Percentage	75.56%

Butter Knives
27-28-7, 61pts

Day 145

Wranglers
36-21-6, 78pts

Team Stats
L1	Streak	W1
16-13-3	Home Record	20-10-2
11-15-4	Away Record	16-11-4
3-5-2	Last 10 Games	9-1-0
4.77	Goals Per Game	4.67
5.06	Goals Against Per Game	4.67
21.32%	Power Play Percentage	23.89%
75.80%	Penalty Kill Percentage	75.56%

Team Leaders
	Goals Aatu Raty 37	Assists Aatu Raty 37

	Points Aatu Raty 74	Plus/Minus Aatu Raty 22

	Wins Justus Annunen 9	Save Percentage Justus Annunen 0.912

Team Stats
Goals For 294 4.67 GFG	Shots For 2725 43.25 Avg	Power Play Percentage 23.9% 27 GF	Offensive Zone Start 40.4%
Goals Against 273 4.33 GAA	Shots Against 2479 39.35 Avg	Penalty Kill Percentage 75.6%% 44 GA	Defensive Zone Start 39.7%

Team Info
	General Manager	Dan Villeneuve
	Coach	Lanny McDonald
	Division	Central
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	21
	Contract Limit	47 / 50
	Prospects	30

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Vladimir Tarasenko			X		100.00	69	55	95	71	78	76	91	69	50	69	62	59	50	74	72	0	46	65	0	34	1	6,000,000$
2	Mason Appleton	X				100.00	70	56	86	67	70	76	83	69	50	64	62	69	50	68	68	0	73	64	0	30	3	500,000$
3	Aatu Raty (R)	X				100.00	79	58	79	69	70	65	59	77	79	62	71	58	51	59	63	0	85	63	0	23	4	500,000$
4	Connor Zary	X				100.00	64	56	85	70	63	74	88	70	55	63	66	63	54	60	60	0	47	63	0	24	2	500,000$
5	Justin Brazeau			X		100.00	78	56	93	69	82	70	86	68	50	63	63	60	50	64	63	0	76	63	0	28	3	500,000$
6	Taylor Raddysh			X		100.00	67	56	88	67	72	71	90	68	50	67	55	60	50	64	64	0	71	62	0	28	1	1,000,000$
7	John Beecher	X				100.00	72	58	83	63	79	69	88	58	70	60	50	69	50	60	63	0	68	61	0	24	3	500,000$
8	Anthony Duclair		X			100.00	64	56	88	66	71	76	66	61	50	60	65	59	53	69	67	0	72	61	0	30	4	1,750,000$
9	Cam Atkinson			X		100.00	56	64	91	65	61	62	61	68	50	59	56	59	50	80	74	0	70	59	0	36	1	500,000$
10	Oliver Wahlstrom			X		100.00	68	65	86	66	74	66	63	65	50	60	52	60	68	65	64	0	66	59	0	25	1	500,000$
11	Riley Tufte		X			100.00	50	43	67	57	83	50	51	50	50	50	50	50	50	65	63	0	71	52	0	27	3	500,000$
12	Parker Wotherspoon				X	100.00	74	57	90	62	68	73	73	66	50	57	54	70	55	67	68	0	77	64	0	28	3	500,000$
13	Juuso Välimäki				X	100.00	63	58	83	61	72	70	66	64	50	56	50	71	55	65	67	0	74	62	0	27	2	500,000$
14	Tyler Tucker				X	100.00	77	77	74	61	73	65	63	64	50	55	55	70	56	62	65	0	75	62	0	25	3	850,000$
15	Nikolas Matinpalo (R)				X	100.00	65	60	75	61	76	63	63	63	50	54	50	67	55	65	66	0	68	61	0	27	1	500,000$
16	Tyson Barrie				X	100.00	60	58	84	65	70	52	55	60	50	53	50	60	65	78	74	0	70	58	0	34	1	1,500,000$
17	Ben Hutton				X	100.00	52	50	99	57	75	50	53	50	50	50	50	51	55	74	72	0	23	54	0	32	1	500,000$
Scratches
1	Zack Ostapchuk (R)	X				100.00	79	65	81	63	77	65	71	58	65	58	50	63	50	56	58	0	47	58	0	22	2	500,000$
2	Joshua Roy (R)			X		100.00	50	55	90	57	68	51	53	50	50	50	50	50	51	61	62	0	20	51	0	22	2	500,000$
3	Liam Foudy	X				100.00	50	35	89	57	66	50	50	50	50	50	50	50	50	60	61	0	20	51	0	26	2	500,000$
4	Sonny Milano		X			100.00	50	35	89	57	69	50	50	50	50	50	50	50	50	67	65	0	20	51	0	29	1	500,000$
5	Samuel Honzek		X			100.00	50	40	79	57	67	50	52	50	50	50	50	50	50	51	55	0	20	50	0	21	4	550,000$
6	Kirill Kudryavtsev				X	100.00	50	35	94	57	71	50	52	50	50	50	50	50	55	55	61	0	19	52	0	22	3	675,000$
7	Matt Kiersted				X	100.00	50	45	53	57	64	50	52	50	50	51	50	50	55	65	69	0	20	52	0	27	4	550,000$

	TEAM AVERAGE					100.00	63	54	84	63	72	62	66	60	53	57	55	59	53	65	65	0	54	58

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Justus Annunen (R)	100.00	70	77	74	78	68	79	72	68	69	54	50	60	63	0	61	68	0	25	2	500,000$
2	Arturs Silovs (R)	100.00	55	65	62	77	50	50	50	50	50	50	50	58	58	0	83	55	0	24	2	2,500,000$
Scratches

	TEAM AVERAGE	100.00	63	71	68	78	59	65	61	59	60	52	50	59	61	0	72	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Lanny McDonald	75	85	95	80	70	80	1	CAN	72	5	500,000$

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FL	S1	S2	S3
1	Aatu Raty	Wranglers (WPG)	C	64	37	37	74	22	14	0	123	118	249	74	185	14.86%	10	1114	17.42	5	7	12	18	70	1	40	4	3	63.57%	884	2	1.33	1	1	0	10	5	1
2	Justin Brazeau	Wranglers (WPG)	RW	15	7	11	18	8	2	0	26	20	68	20	51	10.29%	7	280	18.67	1	1	2	3	21	0	0	2	0	43.48%	23	1	1.29	0	0	0	2	0	2
3	Mason Appleton	Wranglers (WPG)	C	15	4	14	18	0	10	0	23	32	55	15	43	7.27%	3	367	24.51	0	2	2	3	20	0	33	3	0	53.52%	284	0	0.98	0	0	0	0	1	0
4	Oliver Wahlstrom	Wranglers (WPG)	RW	33	3	13	16	-6	2	0	43	39	70	9	56	4.29%	4	607	18.41	1	3	4	8	27	0	9	0	0	50.00%	62	0	0.53	0	0	0	0	2	1
5	Parker Wotherspoon	Wranglers (WPG)	D	15	8	8	16	1	6	0	50	15	31	8	16	25.81%	21	354	23.66	2	1	3	12	23	1	32	1	0	0%	0	0	0.90	0	0	0	2	0	1
6	Vladimir Tarasenko	Wranglers (WPG)	RW	15	6	9	15	5	0	0	20	24	40	16	43	15.00%	0	383	25.58	0	2	2	2	21	0	35	1	0	50.48%	105	0	0.78	0	0	0	0	2	1
7	Juuso Välimäki	Wranglers (WPG)	D	15	1	12	13	6	2	0	7	9	20	4	13	5.00%	24	308	20.56	1	2	3	4	20	0	26	0	1	0%	0	0	0.84	0	0	0	0	2	0
8	Anthony Duclair	Wranglers (WPG)	LW	15	7	6	13	1	2	0	7	11	29	5	23	24.14%	0	181	12.09	1	1	2	5	22	2	9	0	0	62.50%	8	0	1.43	0	0	0	0	2	1
9	Tyler Tucker	Wranglers (WPG)	D	15	5	8	13	4	14	0	46	13	22	4	16	22.73%	20	308	20.55	1	3	4	7	20	0	23	0	0	0%	0	0	0.84	0	0	0	1	1	2
10	Connor Zary	Wranglers (WPG)	C	15	4	7	11	3	6	0	13	24	34	8	27	11.76%	2	222	14.83	0	0	0	0	0	1	15	1	2	56.13%	269	0	0.99	0	0	0	2	0	0
11	Ilya Mikheyev	Winnipeg Jets	RW	4	7	3	10	8	2	0	4	3	28	6	15	25.00%	2	76	19.02	0	1	1	4	5	0	0	1	0	40.00%	5	1	2.63	0	0	0	2	0	1
12	Nikolas Matinpalo	Wranglers (WPG)	D	15	1	5	6	3	15	5	30	11	6	9	9	16.67%	14	228	15.22	0	0	0	0	1	0	2	0	0	0%	0	0	0.53	0	0	1	0	0	1
13	Taylor Raddysh	Wranglers (WPG)	RW	15	3	3	6	3	6	0	21	17	28	8	21	10.71%	2	209	13.94	0	1	1	0	0	0	0	0	0	41.67%	12	0	0.57	0	0	0	0	0	0
14	Erik Gustafsson	Winnipeg Jets	D	8	1	4	5	-6	2	0	12	8	12	4	9	8.33%	15	190	23.87	1	0	1	5	13	0	16	1	0	0%	0	0	0.52	0	0	0	0	0	1
15	Riley Tufte	Wranglers (WPG)	LW	15	2	3	5	8	0	0	8	3	8	3	7	25.00%	3	303	20.23	1	0	1	1	19	0	0	0	0	42.86%	14	0	0.33	0	0	0	0	0	0
16	Cam Atkinson	Wranglers (WPG)	RW	15	1	3	4	4	0	0	1	4	7	3	7	14.29%	1	87	5.81	0	1	1	0	4	0	0	0	0	57.14%	14	0	0.92	0	0	0	0	0	1
17	John Beecher	Wranglers (WPG)	C	15	1	3	4	-7	2	0	24	38	23	5	11	4.35%	5	202	13.53	0	0	0	0	0	0	16	0	0	58.44%	243	0	0.39	0	0	0	0	0	0
18	Tyson Barrie	Wranglers (WPG)	D	15	1	2	3	2	4	0	17	4	6	3	8	16.67%	16	235	15.69	0	0	0	0	0	0	10	0	0	0%	0	0	0.25	0	0	0	0	0	0
19	Anthony Beauvillier	Winnipeg Jets	LW	3	1	0	1	0	0	0	4	5	18	3	6	5.56%	2	75	25.29	0	0	0	2	2	1	6	0	0	55.56%	9	0	0.26	0	0	0	0	0	0
Team Total or Average				322	100	151	251	59	89	5	479	398	754	207	566	13.26%	151	5738	17.82	14	25	39	74	294	6	281	14	6	58.59%	1932	4	0.87	1	1	1	19	15	13

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	EG	PS %	ST	BG	S1	S2	S3
1	Justus Annunen	Wranglers (WPG)	15	9	4	2	0.912	3.34	880	4	49	555	1	2	0	15	0	2	1	1
2	Arturs Silovs	Wranglers (WPG)	1	0	0	0	1.000	0	20	0	0	7	0	0	0	0	15	0	0	0
Team Total or Average			16	9	4	2	0.913	3.27	900	4	49	562	1	2		15	15	2	1	1

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Aatu Raty	Wranglers (WPG)	C	23	2002-11-14	FIN	Yes	190 Lbs	6 ft2	No	No	Trade	2026-01-21	No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Anthony Duclair	Wranglers (WPG)	LW	30	1995-08-26	CAN	No	200 Lbs	6 ft0	No	No	Free Agent		No	No	4	2025-07-23	False	False	Pro & Farm	1,750,000$	175,000$	40,833$	No	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	-	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Arturs Silovs	Wranglers (WPG)	G	24	2001-03-22	LVA	Yes	203 Lbs	6 ft4	No	No	Trade	2025-06-25	No	No	2		False	False	Pro & Farm	2,500,000$	250,000$	58,333$	No	2,500,000$	-	-	-	-	-	-	-	-	2,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ben Hutton	Wranglers (WPG)	D	32	1993-04-20	CAN	No	209 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cam Atkinson	Wranglers (WPG)	RW	36	1989-06-05	USA	No	178 Lbs	5 ft8	No	No	Free Agent		No	No	1	2024-09-06	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Connor Zary	Wranglers (WPG)	C	24	2001-09-25	CAN	No	178 Lbs	6 ft0	No	No	Trade	2025-02-01	No	No	2		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
John Beecher	Wranglers (WPG)	C	24	2001-04-05	USA	No	220 Lbs	6 ft3	No	No	Free Agent		No	No	3	2024-09-03	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Joshua Roy	Wranglers (WPG)	RW	22	2003-08-06	CAN	Yes	192 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Justin Brazeau	Wranglers (WPG)	RW	28	1998-02-02	CAN	No	227 Lbs	6 ft6	No	No	Free Agent		No	No	3	2024-09-05	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Justus Annunen	Wranglers (WPG)	G	25	2000-03-11	FIN	Yes	210 Lbs	6 ft4	No	No	Trade	2025-07-25	No	No	2		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Juuso Välimäki	Wranglers (WPG)	D	27	1998-10-06	FIN	No	201 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Kirill Kudryavtsev	Wranglers (WPG)	D	22	2004-02-05	RUS	No	200 Lbs	5 ft11	No	No	Free Agent		No	No	3	2025-08-09	False	False	Pro & Farm	675,000$	67,500$	15,750$	No	675,000$	675,000$	-	-	-	-	-	-	-	675,000$	675,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Liam Foudy	Wranglers (WPG)	C	26	2000-02-04	CAN	No	186 Lbs	6 ft1	No	No	Free Agent		No	No	2	2024-09-08	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mason Appleton	Wranglers (WPG)	C	30	1996-01-15	USA	No	194 Lbs	6 ft2	No	No	Free Agent		No	No	3	2025-08-07	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Matt Kiersted	Wranglers (WPG)	D	27	1998-04-14	USA	No	182 Lbs	6 ft0	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	550,000$	55,000$	12,833$	No	550,000$	550,000$	550,000$	-	-	-	-	-	-	550,000$	550,000$	550,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Nikolas Matinpalo	Wranglers (WPG)	D	27	1998-10-05	FIN	Yes	211 Lbs	6 ft3	No	No	Trade	2025-07-24	No	No	1	2025-04-09	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Oliver Wahlstrom	Wranglers (WPG)	RW	25	2000-06-13	USA	No	205 Lbs	6 ft2	No	No	Trade	2025-11-18	No	No	1		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Parker Wotherspoon	Wranglers (WPG)	D	28	1997-08-24	CAN	No	192 Lbs	6 ft1	No	No	Free Agent		No	No	3	2024-09-04	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Riley Tufte	Wranglers (WPG)	LW	27	1998-04-10	USA	No	230 Lbs	6 ft6	No	No	Free Agent		No	No	3	2024-09-06	False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Samuel Honzek	Wranglers (WPG)	LW	21	2004-11-12	SVK	No	186 Lbs	6 ft4	No	No	Free Agent	2025-07-11	No	No	4	2025-07-25	False	False	Pro & Farm	550,000$	55,000$	12,833$	No	550,000$	550,000$	550,000$	-	-	-	-	-	-	550,000$	550,000$	550,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Sonny Milano	Wranglers (WPG)	LW	29	1996-05-12	USA	No	194 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Taylor Raddysh	Wranglers (WPG)	RW	28	1998-02-18	CAN	No	200 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	100,000$	23,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Tucker	Wranglers (WPG)	D	25	2000-03-01	CAN	No	204 Lbs	6 ft1	No	No	Free Agent		No	No	3	2025-07-27	False	False	Pro & Farm	850,000$	85,000$	19,833$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Tyson Barrie	Wranglers (WPG)	D	34	1991-07-26	CAN	No	197 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	1,500,000$	150,000$	35,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vladimir Tarasenko	Wranglers (WPG)	RW	34	1991-12-13	RUS	No	219 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	6,000,000$	600,000$	140,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Zack Ostapchuk	Wranglers (WPG)	C	22	2003-05-29	CAN	Yes	212 Lbs	6 ft4	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	11,667$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	26.92	201 Lbs	6 ft2	2.27	918,269$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Duclair	Mason Appleton	Vladimir Tarasenko	40	1	2	2
2	Riley Tufte	Aatu Raty	Justin Brazeau	30	1	2	2
3	Vladimir Tarasenko	Connor Zary	Taylor Raddysh	20	1	2	2
4	Mason Appleton	John Beecher	Oliver Wahlstrom	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Parker Wotherspoon	40	1	2	2
2	Tyler Tucker	Juuso Välimäki	30	1	2	2
3	Nikolas Matinpalo	Tyson Barrie	20	1	2	2
4		Parker Wotherspoon	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Duclair	Mason Appleton	Vladimir Tarasenko	60	1	2	2
2	Riley Tufte	Aatu Raty	Justin Brazeau	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Parker Wotherspoon	60	1	2	2
2	Tyler Tucker	Juuso Välimäki	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vladimir Tarasenko	Mason Appleton	60	1	2	2
2	Aatu Raty	Connor Zary	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Parker Wotherspoon	60	1	2	2
2	Tyler Tucker	Juuso Välimäki	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Vladimir Tarasenko	60	1	2	2		Parker Wotherspoon	60	1	2	2
2	Mason Appleton	40	1	2	2	Tyler Tucker	Juuso Välimäki	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vladimir Tarasenko	Mason Appleton	60	1	2	2
2	Aatu Raty	Connor Zary	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Parker Wotherspoon	60	1	2	2
2	Tyler Tucker	Juuso Välimäki	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Duclair	Mason Appleton	Vladimir Tarasenko		Parker Wotherspoon

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Duclair	Mason Appleton	Vladimir Tarasenko		Parker Wotherspoon

Extra Forwards
Normal	PowerPlay	Penalty Kill
Cam Atkinson, Taylor Raddysh, John Beecher	Cam Atkinson, Taylor Raddysh	John Beecher

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Nikolas Matinpalo, Tyson Barrie, Tyler Tucker	Nikolas Matinpalo	Tyson Barrie, Tyler Tucker

Penalty Shots
Vladimir Tarasenko, Mason Appleton, Aatu Raty, Connor Zary, Justin Brazeau

Goalie
#1 : Justus Annunen, #2 : Arturs Silovs

Custom OT Lines Forwards
, , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Aces	6	2	2	0	1	1	0	0	22	23	-1	3	0	2	0	1	0	0	0	9	14	-5	3	2	0	0	0	1	0	0	13	9	4	7	0.583	22	42	64	1	0	115	92	81	7	243	877	907	915	33	173	55	54	100	16	3	18.75%	21	5	76.19%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
2	Admirals	2	1	1	0	0	0	0	0	11	9	2	1	1	0	0	0	0	0	0	9	5	4	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	11	20	31	1	0	115	92	81	7	79	877	907	915	33	73	18	10	38	1	0	0.00%	5	1	80.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
3	Americiens	3	2	1	0	0	0	0	0	22	14	8	2	2	0	0	0	0	0	0	17	8	9	1	0	1	0	0	0	0	0	5	6	-1	4	0.667	22	40	62	0	0	115	92	81	7	155	877	907	915	33	166	55	12	64	6	1	16.67%	7	4	42.86%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
4	Barons	5	2	1	0	0	1	1	0	21	16	5	3	1	1	0	0	1	0	0	10	10	0	2	1	0	0	0	0	1	0	11	6	5	7	0.700	21	37	58	0	0	115	92	81	7	220	877	907	915	33	171	41	22	102	7	1	14.29%	10	3	70.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
5	Barracuda	5	2	1	0	0	1	1	0	21	20	1	3	1	1	0	0	0	1	0	14	13	1	2	1	0	0	0	1	0	0	7	7	0	7	0.700	21	38	59	0	0	115	92	81	7	221	877	907	915	33	199	59	41	119	7	1	14.29%	18	5	72.22%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
6	Broncos	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	115	92	81	7	41	877	907	915	33	48	12	4	11	0	0	0%	2	0	100.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
7	Bruins	2	2	0	0	0	0	0	0	14	5	9	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	8	2	6	4	1.000	14	23	37	0	0	115	92	81	7	89	877	907	915	33	61	16	16	44	2	1	50.00%	8	0	100.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
8	Butter Knives	1	0	1	0	0	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	6	7	-1	0	0.000	6	12	18	0	0	115	92	81	7	67	877	907	915	33	38	18	4	24	2	0	0.00%	2	1	50.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
9	Canucks	4	1	2	0	1	0	0	0	20	20	0	3	1	2	0	0	0	0	0	13	14	-1	1	0	0	0	1	0	0	0	7	6	1	4	0.500	20	38	58	1	0	115	92	81	7	189	877	907	915	33	125	39	33	99	4	1	25.00%	15	3	80.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
10	Fighting Pandas	2	1	1	0	0	0	0	0	8	11	-3	1	0	1	0	0	0	0	0	2	8	-6	1	1	0	0	0	0	0	0	6	3	3	2	0.500	8	15	23	0	0	115	92	81	7	83	877	907	915	33	74	17	4	41	6	1	16.67%	2	1	50.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
11	Firebirds	3	2	1	0	0	0	0	0	13	11	2	2	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	5	2	3	4	0.667	13	25	38	0	0	115	92	81	7	113	877	907	915	33	104	29	20	67	3	2	66.67%	10	2	80.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
12	Ice Bats	5	3	1	0	0	1	0	0	24	21	3	2	1	1	0	0	0	0	0	8	9	-1	3	2	0	0	0	1	0	0	16	12	4	7	0.700	24	45	69	0	0	115	92	81	7	205	877	907	915	33	188	64	20	116	11	7	63.64%	11	4	63.64%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
13	Lions	5	2	2	0	0	1	0	0	24	29	-5	2	1	0	0	0	1	0	0	10	9	1	3	1	2	0	0	0	0	0	14	20	-6	5	0.500	24	47	71	0	0	115	92	81	7	274	877	907	915	33	252	77	39	133	10	3	30.00%	14	4	71.43%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
14	Lynx	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	115	92	81	7	40	877	907	915	33	26	13	6	12	0	0	0%	3	1	66.67%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
15	Marlies	3	1	1	0	0	1	0	0	12	12	0	1	1	0	0	0	0	0	0	3	1	2	2	0	1	0	0	1	0	0	9	11	-2	3	0.500	12	24	36	0	0	115	92	81	7	111	877	907	915	33	131	25	16	76	8	0	0.00%	7	1	85.71%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
16	Nordiks	4	2	2	0	0	0	0	0	19	19	0	2	1	1	0	0	0	0	0	9	10	-1	2	1	1	0	0	0	0	0	10	9	1	4	0.500	19	35	54	0	0	115	92	81	7	177	877	907	915	33	210	68	38	104	10	2	20.00%	13	2	84.62%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
17	Quacken	4	3	0	0	1	0	0	0	22	14	8	2	1	0	0	1	0	0	0	13	10	3	2	2	0	0	0	0	0	0	9	4	5	8	1.000	22	38	60	0	0	115	92	81	7	160	877	907	915	33	138	33	28	90	4	1	25.00%	14	4	71.43%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
18	Roadrunners	2	1	1	0	0	0	0	0	7	11	-4	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	7	-6	2	0.500	7	14	21	0	0	115	92	81	7	82	877	907	915	33	76	22	12	40	4	1	25.00%	5	0	100.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
19	Tomahawks	2	2	0	0	0	0	0	0	8	4	4	2	2	0	0	0	0	0	0	8	4	4	0	0	0	0	0	0	0	0	0	0	0	4	1.000	8	16	24	0	0	115	92	81	7	64	877	907	915	33	95	17	8	46	4	1	25.00%	4	0	100.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
20	Wombats	3	1	1	0	1	0	0	0	14	19	-5	1	0	0	0	1	0	0	0	6	5	1	2	1	1	0	0	0	0	0	8	14	-6	4	0.667	14	26	40	0	0	115	92	81	7	112	877	907	915	33	131	31	18	70	8	1	12.50%	9	3	66.67%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
	Total	63	30	21	0	4	6	2	0	294	273	21	32	16	10	0	3	2	1	0	151	136	15	31	14	11	0	1	4	1	0	143	137	6	78	0.619	294	547	841	3	0	115	92	81	7	2725	877	907	915	33	2479	709	405	1396	113	27	23.89%	180	44	75.56%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
	_Since Last GM Reset	63	30	21	0	4	6	2	0	294	273	21	32	16	10	0	3	2	1	0	151	136	15	31	14	11	0	1	4	1	0	143	137	6	78	0.619	294	547	841	3	0	115	92	81	7	2725	877	907	915	33	2479	709	405	1396	113	27	23.89%	180	44	75.56%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
	_Vs Conference	40	19	11	0	3	5	2	0	181	166	15	22	9	8	0	2	2	1	0	94	93	1	18	10	3	0	1	3	1	0	87	73	14	53	0.663	181	336	517	2	0	115	92	81	7	1753	877	907	915	33	1551	453	283	909	73	20	27.40%	120	30	75.00%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365
	_Vs Division	21	10	6	0	3	3	2	0	92	88	4	12	4	6	0	2	1	1	0	55	55	0	9	6	0	0	1	2	1	0	37	33	4	33	0.786	92	170	262	2	0	115	92	81	7	895	877	907	915	33	711	208	168	448	35	7	20.00%	73	17	76.71%	0	1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%	1401	992	1633	443	771	365

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
63	78	W1	294	547	841	2725	2479	709	405	1396	3	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
63	30	21	4	6	2	0	294	273

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	16	10	3	2	1	0	151	136

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	14	11	1	4	1	0	143	137

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	1	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
113	27	23.89%	180	44	75.56%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
877	907	915	33	115	92	81	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1133	2404	47.13%	1073	2360	45.47%	527	1183	44.55%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1401	992	1633	443	771	365

Last Played Games Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2	4	Wranglers	6	Barons	2	W			BoxScore
5	19	Barons	5	Wranglers	4	L			BoxScore
7	28	Barons	2	Wranglers	4	W			BoxScore
9	42	Wranglers	5	Barons	4	W	X	X	BoxScore
11	48	Wranglers	4	Barracuda	5	L	X		BoxScore
13	57	Quacken	5	Wranglers	7	W			BoxScore
15	72	Wranglers	2	Aces	3	L	X		BoxScore
17	79	Wranglers	7	Canucks	6	W	X		BoxScore
18	87	Canucks	4	Wranglers	2	L			BoxScore
19	93	Wranglers	7	Lions	6	W			BoxScore
22	108	Aces	5	Wranglers	1	L			BoxScore
25	120	Wranglers	6	Ice Bats	4	W			BoxScore
27	130	Barracuda	5	Wranglers	6	W			BoxScore
28	136	Wranglers	6	Quacken	3	W			BoxScore
31	149	Barracuda	6	Wranglers	7	W	X	X	BoxScore
34	167	Lions	3	Wranglers	5	W			BoxScore
37	176	Wranglers	6	Marlies	7	L			BoxScore
40	188	Marlies	1	Wranglers	3	W			BoxScore
44	208	Aces	6	Wranglers	4	L			BoxScore
46	217	Wranglers	1	Roadrunners	7	L			BoxScore
48	227	Wranglers	5	Americiens	6	L			BoxScore
49	233	Admirals	5	Wranglers	9	W			BoxScore
51	248	Wranglers	6	Butter Knives	7	L			BoxScore
52	255	Canucks	6	Wranglers	9	W			BoxScore
55	271	Fighting Pandas	8	Wranglers	2	L			BoxScore
57	282	Wranglers	4	Aces	2	W			BoxScore
59	294	Aces	3	Wranglers	4	W	X		BoxScore
61	304	Wranglers	2	Lions	6	L			BoxScore
63	315	Wranglers	6	Fighting Pandas	3	W			BoxScore
65	323	Americiens	4	Wranglers	8	W			BoxScore
68	338	Firebirds	6	Wranglers	2	L			BoxScore
70	346	Wranglers	3	Lynx	4	L			BoxScore
72	359	Barracuda	2	Wranglers	1	L			BoxScore
74	370	Wranglers	7	Aces	4	W			BoxScore
76	377	Wranglers	8	Bruins	2	W			BoxScore
77	386	Bruins	3	Wranglers	6	W			BoxScore
80	400	Wranglers	3	Broncos	4	L			BoxScore
82	411	Quacken	5	Wranglers	6	W	X		BoxScore
84	423	Ice Bats	4	Wranglers	6	W			BoxScore
85	430	Wranglers	5	Firebirds	2	W			BoxScore
89	448	Nordiks	8	Wranglers	5	L			BoxScore
92	460	Wranglers	5	Lions	8	L			BoxScore
94	469	Firebirds	3	Wranglers	6	W			BoxScore
96	477	Wranglers	3	Marlies	4	L	X		BoxScore
98	490	Lions	6	Wranglers	5	L	X		BoxScore
101	507	Wranglers	5	Wombats	4	W			BoxScore
102	513	Roadrunners	4	Wranglers	6	W			BoxScore
105	529	Wranglers	3	Wombats	10	L			BoxScore
107	536	Ice Bats	5	Wranglers	2	L			BoxScore
109	549	Wranglers	6	Nordiks	7	L			BoxScore
110	557	Wranglers	4	Ice Bats	5	L	X		BoxScore
112	564	Canucks	4	Wranglers	2	L			BoxScore
114	579	Barons	3	Wranglers	2	L	X		BoxScore
117	592	Wranglers	4	Nordiks	2	W			BoxScore
119	600	Nordiks	2	Wranglers	4	W			BoxScore
121	610	Wranglers	3	Barracuda	2	W			BoxScore
122	620	Wranglers	2	Admirals	4	L			BoxScore
124	629	Americiens	4	Wranglers	9	W			BoxScore
126	644	Wranglers	6	Ice Bats	3	W			BoxScore
128	651	Tomahawks	1	Wranglers	3	W			BoxScore
131	665	Wranglers	3	Quacken	1	W			BoxScore
132	672	Wombats	5	Wranglers	6	W	X		BoxScore
136	691	Tomahawks	3	Wranglers	5	W			BoxScore
139	707	Wranglers	-	Quacken	-
140	714	Quacken	-	Wranglers	-
145	733	Butter Knives	-	Wranglers	-
147	746	Wranglers	-	Griffins	-
148	756	Barons	-	Wranglers	-
151	772	Griffins	-	Wranglers	-
153	782	Wranglers	-	Canucks	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155	788	Wranglers	-	Tomahawks	-
157	798	Griffins	-	Wranglers	-
158	807	Wranglers	-	Tomahawks	-
161	821	Butter Knives	-	Wranglers	-
163	829	Wranglers	-	Barracuda	-
166	841	Lynx	-	Wranglers	-
167	844	Wranglers	-	Barons	-
171	863	Broncos	-	Wranglers	-
172	870	Wranglers	-	Griffins	-
175	882	Broncos	-	Wranglers	-
176	887	Wranglers	-	Barons	-
177	894	Wranglers	-	Canucks	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
9	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,088,183$	2,387,500$	2,387,500$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
2,387,500$	1,704,889$	26	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	42	16,042$	673,764$

Wranglers Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Wranglers Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Wranglers Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Wranglers Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Wranglers Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Wranglers
	GP: 63 \| W: 36 \| L: 21 \| OTL: 6 \| P: 78 GF: 294 \| GA: 273 \| PP%: 23.89% \| PK%: 75.56% GM : Dan Villeneuve \| Morale : 60 \| Team Overall : 58 Next Games #707 vs Quacken